Machine learning aided analysis, design, and additive manufacturing of functionally graded porous composite structures /

Machine Learning Aided Analysis, Design, and Additive Manufacturing of Functionally Graded Porous Composite Structures presents a state-of-the-art review of the latest advances and cutting-edge technologies in this important research field. Sections provide an introduction to functionally graded por...

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Détails bibliographiques
Autres auteurs:	Yang, Jie (Éditeur intellectuel), Chen, Da (Éditeur intellectuel), Gao, Kang (Éditeur intellectuel)
Format:	Électronique eBook
Langue:	anglais
Publié:	Oxford : Woodhead Publishing, [2024]
Collection:	Woodhead Publishing series in composites science and engineering.
Sujets:	Composite materials > Mechanical properties. Artificial intelligence > Engineering applications. Machine learning > Industrial applications. Additive manufacturing. Composites > Propriétés mécaniques. Intelligence artificielle > Applications en ingénierie. Apprentissage automatique > Applications industrielles. Fabrication additive.
Accès en ligne:	ScienceDirect
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Table des matières:

Front Cover
Machine Learning Aided Analysis, Design, and Additive Manufacturing of Functionally Graded Porous Composite Structures
Copyright Page
Contents
List of contributors
I. Introduction
1 An introduction to functionally graded porous materials and composite structures
1.1 Porous materials
1.2 Functionally graded porous materials
1.2.1 Functionally graded porosity
1.2.2 Fabrication
1.3 Functionally graded porous composite structures
1.3.1 Structural forms
1.3.2 Mechanical analysis
1.4 Chapters in this book
1.5 Conclusions
Acknowledgments
References
II. Structural performance evaluation
2 Free and forced vibrations of functionally graded porous straight and curved beams
Nomenclature
2.1 Introduction
2.2 Materials and methods
2.2.1 Model description
2.2.2 Energy formulations of functionally graded porous curved beam
2.2.3 Model discretization and solution procedure
2.3 Result and discussion
2.3.1 Convergence study
2.3.2 Validation
2.3.3 Parameter studies
2.4 Conclusion
Acknowledgments
References
3 Free and forced vibrations of functionally graded porous quadrilateral plates with complex curved edges
Nomenclature
3.1 Introduction
3.2 Theory analysis
3.2.1 Establishment of the model
3.2.2 Constitutive relation and energy equation
3.2.3 Spectral Chebyshev method
3.2.4 Solving procedure
3.3 Results and discussion
3.3.1 Free vibration of FGP plates
3.3.1.1 Convergence and verification
3.3.1.2 Parametric investigation
3.3.2 Transient response of FGP plates
3.3.2.1 Verification examples
3.3.2.2 Parametric investigation
3.3.3 Steady-state response of FGP plates
3.3.3.1 Verification examples
3.3.3.2 Parametric analysis for steady-state response
3.4 Conclusion
Acknowledgments
References.
4 Free and forced vibrations of functionally graded porous circular cylindrical shells
4.1 Introduction
4.2 Linear free vibration
4.2.1 Governing equations
4.2.2 Solution procedure
4.2.3 Results and discussion
4.3 Linear forced vibration
4.3.1 Governing equations
4.3.2 Solution procedure
4.3.3 Results and discussion
4.4 Nonlinear free vibration
4.4.1 Governing equations
4.4.2 Solution procedure
4.4.3 Results and discussion
4.5 Nonlinear forced vibration
4.5.1 Governing equations and solution
4.5.2 Results and discussion
4.6 Conclusion
Acknowledgments
References
5 Free and forced vibrations of functionally graded porous shallow shells on elastic foundation
Nomenclature
5.1 Introduction
5.2 Theoretical formulations
5.2.1 Functionally graded porous material properties
5.2.2 Description of the shallow shells
5.2.3 Energy functional of the functionally graded porous shallow shells
5.2.4 Spectral Chebyshev method
5.2.5 Solving procedure
5.3 Analysis and discussion
5.3.1 Convergence studies
5.3.2 Validity of the present method
5.3.3 Free vibration analysis
5.3.4 Forced vibration analysis
5.3.4.1 Steady-state response
5.3.4.2 Transient-state response
5.4 Conclusion
Acknowledgments
References
6 Improving buckling and vibration response of porous beams using higher order distribution of porosity
6.1 Introduction
6.2 Porous materials with graded porosities
6.3 Governing equations
6.3.1 Displacement field
6.3.2 Strain-displacement relations
6.3.3 Constitutive equations
6.3.4 Hamilton principle
6.4 Solution methodology
6.4.1 Galerkin technique
6.4.2 Harmonic balance method
6.5 Numerical results and discussions
6.5.1 Comparative studies
6.5.2 Parametric studies
6.6 Conclusions
Acknowledgments
Appendix.
9.3.2 Response classification of representative 4<U+00D7>4 units
9.3.3 Machine learningmodel validation and response prediction
9.4 Conclusion
Acknowledgments
References
10 Artificial intelligence (AI) enhanced finite element multiscale modeling and structural uncertainty analysis of a functi...
10.1 Introduction
10.2 AI-enhanced finite element multiscale modeling
10.2.1 Representative volume elements for finite element homogenization
10.2.2 Database construction
10.2.3 Convolutional neural networks
10.2.4 Results from convolutional neural network
10.3 Structural uncertainty analysis
10.3.1 Material uncertainty
10.3.2 Bending analysis of FG porous beam
10.3.3 Validation and discussion on FG porous beam
10.4 Conclusions
Acknowledgments
References
11 Machine learning-aided stochastic static analysis of functionally graded porous plates
11.1 Introduction
11.2 Functionally graded porous plates
11.3 Theoretical formulation
11.3.1 First-order shear deformation theory of plate
11.4 Machine learning-aided stochastic static analysis
11.4.1 The Karhunen-Löve expansion
11.4.2 Machine learning-aided stochastic static analysis of functionally graded porous plate
11.4.3 Artificial neural networks
11.4.4 The extended support vector regression
11.5 Investigation of results
11.5.1 Convergence and validation
11.5.2 Functionally graded porous cylinder plate example
11.5.3 Functionally graded porous spanner plate example
11.6 Conclusion
11.6.1 Summary and conclusions
Acknowledgments
References
12 Machine learning aided stochastic free vibration analysis of functionally graded porous plates
12.1 Introduction
12.2 Material models of the functionally graded porous plates
12.3 Stochastic free vibration analysis.
12.3.1 Free vibration analysis of functionally graded porous plate
12.3.2 Stochastic free vibration analysis of functionally graded porous plate
12.4 Machine learning aided stochastic free vibration analysis
12.4.1 Preliminary
12.4.2 Gaussian process regression
12.4.3 The extended support vector regression
12.4.4 Optimizing hyperparameters
12.5 Investigation of results
12.5.1 Convergence and validation
12.5.2 Functionally graded porous plate example
12.5.3 Functionally graded porous drone base example
12.6 Conclusion
Acknowledgments
References
IV. Additive manufacturing
13 Performance evaluations of functionally graded porous structures
13.1 Introduction
13.2 Design of functionally graded porous structures
13.2.1 Topology design of triply periodic minimal surface
13.2.2 From triply periodic minimal surface to lattice structures
13.2.3 Triply periodic minimal surface lattice with functionally graded relative density
13.3 Manufacturing techniques
13.3.1 3D printing of composite materials
13.3.2 Additive manufacturing of concrete
13.4 Results and discussion
13.4.1 Mechanical properties of triply periodic minimal surface composite-based structures
13.4.2 Mechanical performance of porous cement and concrete-based structures
13.5 Potential applications
13.6 Conclusions
Acknowledgments
References
14 Design and fabrication of additively manufactured functionally graded porous structures
14.1 Introduction
14.2 Additive manufacturing techniques
14.2.1 Powder bed fusion
14.2.2 Material extrusion
14.2.3 Vat photopolymerization
14.3 Additively manufactured cellular solids
14.3.1 Open-cell foams
14.3.2 Closed-cell foams
14.3.3 Honeycomb architectures
14.3.4 Lattice architectures
14.3.5 Graded cellular solids
14.4 Perspective and outlook.

Machine learning aided analysis, design, and additive manufacturing of functionally graded porous composite structures /

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